PURR Registry

A Multi-state Model of the CaMKII Holoenzyme using MCell 3.3

10.4231/MBPK-D277

Matthew C Pharris , Tamara L Kinzer-Ursem

03/11/2019

This model uses a specialized rule-based syntax in MCell 3.3 to model the twelve-subunit CaMKII holoenzyme without inducing combinatorial explosion. The model allows us to explore the regulation of CaMKII activation and autophosphorylation.

Biomedical Engineering Calmodulin Computational Modeling Neuroscience Protein Signaling

Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision

10.4231/R7N58JJ3

Haiguang Wen , Jiayue Cao , Junxing Shi , Kun-Han Lu , Yizhen Zhang , Zhongming Liu

11/17/2017

This document includes the main source code (Matlab or Python) related to our study.

Biomedical Engineering deep learning FMR1 LIBI Matlab natural vision neural decoding Neural encoding Neuroscience Python Code Source Code

fMRI Data for Human Subjects During Musical Perception and Imagery

10.4231/R7W957B3

Gang Chen , Haiguang Wen , Kun-Han Lu , Yizhen Zhang , Zhongming Liu

01/05/2018

This fMRI dataset includes the original stimuli and the BOLD fMRI responses for a musical imagery study.

Biomedical Engineering fMRI Inter-Session Functional Connectivity Intra-Subject Reproducibility Music Imagery Neuroscience

Competitive Tuning of Ca2+/Calmodulin-Activated Proteins Provides a Compensatory Mechanism for AMPA Receptor Phosphorylation in Synaptic Plasticity

10.4231/R7ST7N11

Matthew C Pharris , Tamara L. Kinzer-Ursem

02/16/2018

Code for the basic 4-state competitive binding model that builds on previous work by incorporating an additional competitor for calmodulin along with a number of downstream proteins. Also include is sample code for global sensitivity analysis...

Biomedical Engineering Calmodulin Neuroscience

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 1

10.4231/R7X63K3M

Haiguang Wen , Jiayue Cao , Junxing Shi , Kun-Han Lu , Yizhen Zhang , Zhongming Liu

09/15/2017

This is a video-fMRI dataset for subject 1 (out of three) acquired by the Laboratory of Integrated Brain Imaging (LIBI),

Biomedical Engineering deep learning fMRI LIBI natural vision neural decoding Neural encoding Neuroscience

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 2

10.4231/R7NS0S1F

Haiguang Wen , Jiayue Cao , Junxing Shi , Kun-Han Lu , Yizhen Zhang , Zhongming Liu

09/18/2017

This is a video-fMRI dataset for subject 2 (out of three) acquired by the Laboratory of Integrated Brain Imaging (LIBI).

Biomedical Engineering deep learning fMRI LIBI natural vision neural decoding Neural encoding Neuroscience

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 3

10.4231/R7J101BV

Haiguang Wen , Jiayue Cao , Junxing Shi , Kun-Han Lu , Yizhen Zhang , Zhongming Liu

09/15/2017

This is a video-fMRI dataset for subject 3 (out of three) acquired by the Laboratory of Integrated Brain Imaging (LIBI).

Biomedical Engineering deep learning fMRI LIBI movie stimuli natural vision neural decoding Neural encoding Neuroscience

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Stimuli

10.4231/R71Z42KK

Haiguang Wen , Jiayue Cao , Junxing Shi , Kun-Han Lu , Yizhen Zhang , Zhongming Liu

09/15/2017

This is a video-fMRI dataset contains the videos with stimuli acquired by the Laboratory of Integrated Brain Imaging (LIBI).

Biomedical Engineering deep learning fMRI LIBI movie stimuli natural vision neural decoding Neural encoding Neuroscience

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests

10.4231/R7SF2TCW

Haiguang Wen , Jiayue Cao , Junxing Shi , Kun-Han Lu , Yizhen Zhang , Zhongming Liu

09/15/2017

This is a video-fMRI dataset contains the videos with stimuli acquired by the Laboratory of Integrated Brain Imaging (LIBI).

Biomedical Engineering deep learning fMRI LIBI natural vision neural decoding Neural encoding Neuroscience

Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision

10.4231/R7V98675

Haiguang Wen , Jiayue Cao , Junxing Shi , Kun-Han Lu , Yizhen Zhang , Zhongming Liu

09/25/2017

This document includes the main source code (Matlab or Python) related to our study.

Biomedical Engineering deep learning FMR1 LIBI Matlab natural vision neural decoding Neural encoding Neuroscience Python Code Source Code

Datasets

Subject

Creator

Type

Date

Total is 21 Results

A Multi-state Model of the CaMKII Holoenzyme using MCell 3.3

Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision

fMRI Data for Human Subjects During Musical Perception and Imagery

Competitive Tuning of Ca2+/Calmodulin-Activated Proteins Provides a Compensatory Mechanism for AMPA Receptor Phosphorylation in Synaptic Plasticity

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 1

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 2

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 3

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Stimuli

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests

Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision

Datasets

All fields DOI Author Subject Search

Subject

Creator

Type

Date

Total is 21 Results